Job Description

We are seeking a Senior Software Architect to lead the design and evolution of our cloud-native data and application platforms. The ideal candidate is a hands-on technologist with 15+ years of software engineering experience and deep expertise in Node.js, distributed systems, and modern data architectures. Alongside technical leadership, you will mentor and guide a small engineering team, ensuring architectural vision translates into delivery of scalable, secure, and high-quality solutions.


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Key Responsibilities:

Define and evolve enterprise-grade architecture for data and application platforms Design and implement cloud-native, event-driven, and microservices-based architectures using Node.js Lead the design of data platforms and pipelines (streaming, batch, CDC, APIs) Establish reference architectures, design patterns, and reusable frameworks Ensure adherence to SOLID principles, clean code, and modular design Mentor engineers on design, Node.js, and data engineering best practices Manage a small team (5-10 engineers) while fostering technical growth Drive technology evaluations, proof-of-concepts, and long-term architectural planning
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First 12 Months - Expected Impact:

Establish architectural guardrails for Node.js services, APIs, and data pipelines Stabilize and optimize Node.js applications for performance and cost efficiency Define data platform standards (pipelines, orchestration, CDC, streaming) Mentor technical leads and engineers to raise the bar on system design Introduce observability standards (tracing, logging, metrics) Deliver key architectural blueprints for microservices and lakehouse models Shape the 3-5 year technical roadmap
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Qualifications:

15+ years in software engineering, including 7+ years in architecture roles Strong expertise in Node.js, JavaScript, and TypeScript Mastery of SOLID principles, design patterns, and system refactoring Extensive experience with data pipelines, lakehouses, and streaming (Kafka, Pub/Sub, Event Hubs) Hands-on experience with CDC tools (Fivetran, Debezium) and orchestration frameworks (Airflow, Cloud Composer, Dagster) Cloud expertise in GCP (preferred), Azure, or AWS Knowledge of observability tools (OpenTelemetry, Cloud Trace), IAM, and security compliance (PII/PHI)
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Preferred Qualities:

Experience with data modeling, BI/analytics integration, and semantic layer design Exposure to healthcare, finance, or other regulated industries Familiarity with Team Topologies or scaled agile frameworks Thought leadership in AI/ML, LLMs, and data-driven applications
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What We Offer:

Influence and ownership over the technology strategy of a data-driven enterprise A culture that values technical depth, innovation, and autonomy Competitive compensation and benefits * Growth opportunities in both technical architecture and organizational leadership